Senior Software Engineer - AI, CoCounsel International

Thomson ReutersFrisco, TX
$110,000 - $235,000Hybrid

About The Position

We're looking for a Senior Software Engineer – AI to join the CoCounsel International team and work closely with our Labs team to build new AI agents and adapt them for our international products and features. In this role, you'll build the backend services that bring these agentic capabilities to life, and help take early Labs concepts into scalable, production-ready features used by legal professionals worldwide. If you're passionate about building AI agents and bringing new capabilities to life for legal professionals around the world, we'd love to hear from you. Join us to build, innovate, and make a lasting impact on our CoCounsel application. Apply today! About the Role In this opportunity as Senior Software Engineer – AI, you will Build AI-Powered Backend Systems: Design and build backend services using Python, FastAPI, and PostgreSQL to support real-time AI interactions and large-scale data flows, with direct contribution to AI-powered capabilities such as agentic workflows, LLM orchestration, and content pipelines. Shape Platform Architecture: Define service boundaries, system interfaces, and scalable design patterns that form the architectural foundation of our AI platform. Productionize AI Capabilities: Integrate backend systems with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, error handling, guardrails, telemetry, and deep observability for performance and reliability. Collaborate Cross-Functionally: Partner closely with our Labs team, product managers, and designers to take early AI agent concepts and turn them into scalable, production-ready features for our international products. Mentor Engineers: Support the growth of other engineers through pairing, code reviews, and ongoing technical guidance.

Requirements

  • 4+ years of professional software engineering experience building and shipping production backend systems, APIs, and microservices used by real customers.
  • Strong proficiency in Python, FastAPI, PostgreSQL, and AWS cloud services, with a deep understanding of distributed systems, architecture, and data modeling.
  • Proven experience designing, building, and deploying production-grade agentic AI workflows — including multi-step reasoning, tool/API orchestration, and LLM-as-judge or eval-driven quality gates — serving real end users at scale.
  • Excellent debugging skills and a proven ability to deliver production-ready, highly reliable systems.
  • Comfortable operating in fast-paced, iterative environments, with strong cross-functional communication skills.

Nice To Haves

  • BA or BS in Computer Science or equivalent practical experience
  • Experience with performance optimization for backend systems, including monitoring, profiling, and tuning for scale
  • Hands-on experience building AI-powered product features, including LLM APIs, RAG pipelines, or agentic workflows in a production environment
  • Familiarity with AI/ML infrastructure including vector databases, model serving, and cost/latency optimization for LLM-powered features
  • Strong opinions on testing, automation, and operational robustness
  • Prior experience working on products for legal, compliance, or other regulated professional domains

Responsibilities

  • Build AI-Powered Backend Systems: Design and build backend services using Python, FastAPI, and PostgreSQL to support real-time AI interactions and large-scale data flows, with direct contribution to AI-powered capabilities such as agentic workflows, LLM orchestration, and content pipelines.
  • Shape Platform Architecture: Define service boundaries, system interfaces, and scalable design patterns that form the architectural foundation of our AI platform.
  • Productionize AI Capabilities: Integrate backend systems with modern LLM providers (e.g., OpenAI, Anthropic) and implement reliable orchestration, routing, error handling, guardrails, telemetry, and deep observability for performance and reliability.
  • Collaborate Cross-Functionally: Partner closely with our Labs team, product managers, and designers to take early AI agent concepts and turn them into scalable, production-ready features for our international products.
  • Mentor Engineers: Support the growth of other engineers through pairing, code reviews, and ongoing technical guidance.

Benefits

  • Flexible hybrid working environment (2-3 days a week in the office depending on the role)
  • Flex My Way supportive workplace policies
  • Work from anywhere for up to 8 weeks per year
  • Career Development and Growth opportunities
  • Grow My Way programming
  • Flexible vacation
  • Two company-wide Mental Health Days off
  • Access to the Headspace app
  • Retirement savings
  • Tuition reimbursement
  • Employee incentive programs
  • Resources for mental, physical, and financial wellbeing
  • Two paid volunteer days off annually
  • Opportunities to get involved with pro-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives
  • Market competitive health, dental, vision, disability, and life insurance programs
  • Competitive 401k plan with company match
  • Competitive vacation, sick and safe paid time off
  • Paid holidays (including two company mental health days off)
  • Parental leave
  • Sabbatical leave
  • Optional hospital, accident and sickness insurance paid 100% by the employee
  • Optional life and AD&D insurance paid 100% by the employee
  • Flexible Spending and Health Savings Accounts
  • Fitness reimbursement
  • Access to Employee Assistance Program
  • Group Legal Identity Theft Protection benefit paid 100% by employee
  • Access to 529 Plan
  • Commuter benefits
  • Adoption & Surrogacy Assistance
  • Access to Employee Stock Purchase Plan
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